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Defining the e-commerce dynamics through the identification of direct and indirect competitors
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| 2.47 MB | Adobe PDF |
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Resumo(s)
This study explores the intricate web of competition in e-commerce, utilizing advanced
methods in natural language processing and machine learning. This analysis delves into
previously undiscovered competitor networks, deciphering apparent and concealed competition
using advanced techniques such as Word2Vec and Graph Neural Networks. The research
uncovers the covert strategies of advertisement poaching, offering a rare glimpse into the more
intricate dynamics of digital marketing. It serves as a symbol of innovation offering important
knowledge for understanding the competitive landscape of internet commerce.
Descrição
Palavras-chave
Competition Company embeddings Natural language processing Word2vec Pca E-commerce Machine learning